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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Scheduling.
All parameters related to queuing and scheduling of custom jobs.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#restart_job_on_worker_restart
def restart_job_on_worker_restart() -> ::Boolean
Returns
- (::Boolean) — Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
#restart_job_on_worker_restart=
def restart_job_on_worker_restart=(value) -> ::Boolean
Parameter
- value (::Boolean) — Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
Returns
- (::Boolean) — Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
#timeout
def timeout() -> ::Google::Protobuf::Duration
Returns
- (::Google::Protobuf::Duration) — The maximum job running time. The default is 7 days.
#timeout=
def timeout=(value) -> ::Google::Protobuf::Duration
Parameter
- value (::Google::Protobuf::Duration) — The maximum job running time. The default is 7 days.
Returns
- (::Google::Protobuf::Duration) — The maximum job running time. The default is 7 days.